The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-02"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "18079136 (up from 17850479 yesterday: 1.28 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "689347 (up from 685061 yesterday: 0.63 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5168779

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.81



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4667955 47511 1.03 1363013 154860 413 0.27 3.32
Brazil 2733677 25800 0.95 868996 94104 541 0.58 3.44
India 1803695 52972 3.03 925441 38135 771 2.06 2.11
Russia 849277 5387 0.64 123241 14104 70 0.50 1.66
South Africa 511485 8195 1.63 235243 8366 213 2.61 1.64
Mexico 439046 4853 1.12 139296 47746 274 0.58 10.87
Peru 428850 21358 5.24 102524 19614 593 3.12 4.57
Chile 359731 2073 0.58 44690 9608 75 0.79 2.67
Colombia 317651 11470 3.75 172289 10650 320 3.10 3.35
Iran 309437 2685 0.88 52134 17190 208 1.22 5.56
United Kingdom 306319 747 0.24 15165 46286 8 0.02 15.11
Spain 288522 0 0.00 34614 28445 0 0.00 9.86
Pakistan 279699 1394 0.50 28074 5976 25 0.42 2.14
Saudi Arabia 278835 1357 0.49 46576 2917 30 1.04 1.05
Italy 248070 238 0.10 5009 35154 8 0.02 14.17
Bangladesh 240746 886 0.37 56951 3154 22 0.70 1.31
Turkey 232856 987 0.43 19863 5728 18 0.32 2.46
France 225198 0 0.00 17183 30268 0 0.00 13.44
Germany 211220 215 0.10 11301 9154 0 0.00 4.33
Argentina 201919 5376 2.74 101753 3648 52 1.45 1.81
Iraq 129151 2447 1.93 51645 4868 63 1.31 3.77
Canada 118768 245 0.21 9420 8990 4 0.04 7.57
Indonesia 111455 1519 1.38 35756 5236 43 0.83 4.70
Qatar 111107 196 0.18 7509 177 3 1.72 0.16
Philippines 103185 4953 5.04 46926 2059 20 0.98 2.00
Egypt 94483 167 0.18 12413 4865 31 0.64 5.15
Kazakhstan 92662 2295 2.54 34409 793 0 0.00 0.86
China 87985 158 0.18 2868 4669 2 0.04 5.31
Ecuador 86232 0 0.00 18362 5736 0 0.00 6.65
Sweden 80422 0 0.00 5524 5743 0 0.00 7.14
Bolivia 80153 1360 1.73 31966 3153 89 2.90 3.93
Oman 79159 0 0.00 23144 421 0 0.00 0.53
Ukraine 73761 1152 1.59 19114 1749 16 0.92 2.37
Israel 72815 597 0.83 34145 536 10 1.90 0.74
Dominican Republic 72243 828 1.16 27711 1178 8 0.68 1.63
Belgium 69849 447 0.64 7142 9845 0 0.00 14.09
Belarus 68067 121 0.18 3135 567 4 0.71 0.83
Kuwait 67911 463 0.69 13017 457 4 0.88 0.67
Panama 67453 1070 1.61 21820 1471 22 1.52 2.18
United Arab Emirates 60999 239 0.39 6145 351 0 0.00 0.58
Netherlands 55408 387 0.70 4171 6169 2 0.03 11.13
Romania 53186 1075 2.06 20651 2413 34 1.43 4.54
Singapore 52825 313 0.60 6864 27 0 0.00 0.05
Portugal 51463 153 0.30 4951 1738 1 0.06 3.38
Guatemala 51306 327 0.64 21951 1995 36 1.84 3.89
Poland 46894 548 1.18 9003 1731 10 0.58 3.69
Nigeria 43841 304 0.70 11283 888 5 0.57 2.03
Honduras 43197 512 1.20 15107 1377 9 0.66 3.19
Bahrain 41536 346 0.84 8595 147 0 0.00 0.35
Japan 39116 1312 3.47 17275 1013 1 0.10 2.59
Armenia 39050 209 0.54 7081 754 5 0.67 1.93
Ghana 37014 0 0.00 12496 182 0 0.00 0.49
Kyrgyzstan 36719 420 1.16 25602 1409 12 0.86 3.84
Afghanistan 36710 0 0.00 2259 1284 1 0.08 3.50
Switzerland 35550 138 0.39 2667 1981 0 0.00 5.57
Azerbaijan 32443 286 0.89 8402 462 8 1.76 1.42
Algeria 31465 515 1.66 12270 1231 8 0.65 3.91
Serbia 26193 311 1.20 7833 590 8 1.37 2.25
Ireland 26162 53 0.20 534 1763 0 0.00 6.74
Morocco 25537 522 2.09 9792 382 15 4.09 1.50
Moldova 25362 249 0.99 5980 791 3 0.38 3.12
Uzbekistan 25336 553 2.23 12339 151 4 2.72 0.60
Kenya 22053 690 3.23 11948 369 5 1.37 1.67
Austria 21304 92 0.43 2407 718 0 0.00 3.37
Nepal 20332 246 1.22 3531 57 1 1.79 0.28
Venezuela 20206 763 3.92 10741 174 5 2.96 0.86
Costa Rica 18975 788 4.33 11379 162 8 5.19 0.85
Ethiopia 18706 707 3.93 11146 310 26 9.15 1.66
Australia 17938 43 0.24 7958 208 0 0.00 1.16
El Salvador 17448 398 2.33 7774 467 8 1.74 2.68
Cameroon 17255 0 0.00 2082 391 0 0.00 2.27
Czechia 16800 101 0.60 3626 384 1 0.26 2.29
Cote d’Ivoire 16182 73 0.45 3416 102 0 0.00 0.63
Korea, South 14389 23 0.16 910 301 0 0.00 2.09
Denmark 14028 0 0.00 881 615 0 0.00 4.38
West Bank and Gaza 12297 137 1.13 6067 84 1 1.20 0.68
Bosnia and Herzegovina 12296 420 3.54 5419 352 13 3.83 2.86
Bulgaria 11955 119 1.01 4703 388 3 0.78 3.25
Sudan 11738 0 0.00 1488 752 0 0.00 6.41
Madagascar 11528 255 2.26 6661 114 7 6.54 0.99
North Macedonia 11054 163 1.50 2943 497 4 0.81 4.50
Senegal 10344 60 0.58 2209 209 0 0.00 2.02

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 512175 5562 1.10 187632 9396 51 0.55 1.83 12962.44 237.80 1 in 77
Florida 487132 7104 1.48 217321 7084 62 0.88 1.45 22680.79 329.83 1 in 44
Texas 448145 3407 0.77 185383 6878 13 0.19 1.53 15455.47 237.21 1 in 65
New York 416298 531 0.13 14592 32710 16 0.05 7.86 21399.58 1681.44 1 in 47
Georgia 193177 3165 1.67 76242 3840 15 0.39 1.99 18194.34 361.67 1 in 55
Illinois 183224 1470 0.81 28176 7714 14 0.18 4.21 14459.17 608.75 1 in 69
New Jersey 182350 321 0.18 7052 15836 6 0.04 8.68 20529.85 1782.89 1 in 49
Arizona 178467 1465 0.83 56000 3765 18 0.48 2.11 23436.57 494.43 1 in 43
North Carolina 125330 1324 1.07 39559 1983 4 0.20 1.58 11949.75 189.07 1 in 84
Louisiana 119747 3467 2.98 41625 4007 58 1.47 3.35 25758.72 861.94 1 in 39
Massachusetts 118458 418 0.35 6861 8638 12 0.14 7.29 17045.54 1242.97 1 in 59
Pennsylvania 118033 565 0.48 18239 7223 4 0.06 6.12 9219.90 564.21 1 in 108
Tennessee 109627 1443 1.33 47667 1073 6 0.56 0.98 16043.35 157.03 1 in 62
Ohio 93031 944 1.03 27439 3529 14 0.40 3.79 7958.78 301.91 1 in 126
South Carolina 91788 1189 1.31 35140 1777 26 1.48 1.94 17827.36 345.13 1 in 56
Virginia 91782 981 1.08 21112 2218 3 0.14 2.42 10752.95 259.86 1 in 93
Michigan 91758 426 0.47 14982 6457 0 0.00 7.04 9187.88 646.55 1 in 109
Alabama 91444 2095 2.34 37857 1627 24 1.50 1.78 18649.92 331.83 1 in 54
Maryland 90274 909 1.02 17165 3515 9 0.26 3.89 14931.98 581.41 1 in 67
Indiana 67857 735 1.10 16245 2975 4 0.13 4.38 10079.44 441.90 1 in 99
Mississippi 60553 672 1.12 24266 1703 10 0.59 2.81 20346.09 572.22 1 in 49
Washington 58173 632 1.10 17517 1596 4 0.25 2.74 7639.37 209.59 1 in 131
Minnesota 55947 759 1.38 13666 1654 8 0.49 2.96 9920.33 293.28 1 in 101
Wisconsin 54924 922 1.71 18476 948 1 0.11 1.73 9433.17 162.82 1 in 106
Missouri 52184 552 1.07 24304 1276 0 0.00 2.45 8502.58 207.90 1 in 118
Nevada 50205 1131 2.30 22522 832 0 0.00 1.66 16299.50 270.12 1 in 61
Connecticut 49810 0 0.00 2523 4432 0 0.00 8.90 13970.82 1243.10 1 in 72
Colorado 47709 460 0.97 10814 1844 0 0.00 3.87 8284.63 320.21 1 in 121
Iowa 45723 430 0.95 10313 878 4 0.46 1.92 14491.91 278.28 1 in 69
Arkansas 43810 637 1.48 15443 464 6 1.31 1.06 14517.08 153.75 1 in 69
Utah 41175 473 1.16 11691 311 1 0.32 0.76 12843.27 97.01 1 in 78
Oklahoma 38225 494 1.31 17990 550 1 0.18 1.44 9660.17 139.00 1 in 104
Kentucky 31185 462 1.50 11796 742 2 0.27 2.38 6980.14 166.08 1 in 143
Kansas 27871 279 1.01 8890 361 3 0.84 1.30 9566.77 123.91 1 in 105
Nebraska 26702 311 1.18 5530 332 0 0.00 1.24 13803.71 171.63 1 in 72
Idaho 21110 0 0.00 10207 197 0 0.00 0.93 11779.71 109.93 1 in 85
New Mexico 21016 220 1.06 5988 654 3 0.46 3.11 10022.75 311.90 1 in 100
Oregon 19097 280 1.49 6927 326 1 0.31 1.71 4527.78 77.29 1 in 221
Rhode Island 19022 0 0.00 1710 1007 0 0.00 5.29 17956.11 950.57 1 in 56
Puerto Rico 18411 539 3.02 8757 230 5 2.22 1.25 5764.80 72.02 1 in 173
Delaware 14949 72 0.48 2145 585 0 0.00 3.91 15351.77 600.76 1 in 65
District of Columbia 12057 0 0.00 1210 584 0 0.00 4.84 17083.98 827.49 1 in 59
South Dakota 8955 88 0.99 1456 135 1 0.75 1.51 10122.54 152.60 1 in 99
West Virginia 6858 120 1.78 2614 117 1 0.86 1.71 3837.40 65.47 1 in 261
North Dakota 6660 58 0.88 2326 105 2 1.94 1.58 8739.45 137.78 1 in 114
New Hampshire 6634 20 0.30 580 417 1 0.24 6.29 4878.98 306.68 1 in 205
Montana 4193 112 2.74 2435 61 0 0.00 1.45 3923.17 57.07 1 in 255
Maine 3958 21 0.53 419 123 0 0.00 3.11 2944.48 91.50 1 in 340
Alaska 3280 144 4.59 1801 24 0 0.00 0.73 4483.66 32.81 1 in 223
Wyoming 2808 39 1.41 946 26 0 0.00 0.93 4851.76 44.92 1 in 206
Hawaii 2242 45 2.05 1022 26 0 0.00 1.16 1583.48 18.36 1 in 632
Vermont 1426 5 0.35 130 57 0 0.00 4.00 2285.30 91.35 1 in 438

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8035975 512175 6.37 2629376 187632 7.14 203379.47
2 Florida 3720997 487132 13.09 1146990 217321 18.95 173249.03
3 Texas 3747779 448145 11.96 1255025 185383 14.77 129252.12
4 New York 6030935 416298 6.90 1357740 14592 1.07 310017.02
5 Georgia 1624640 193177 11.89 541224 76242 14.09 153016.41
6 Illinois 2779603 183224 6.59 795489 28176 3.54 219353.08
7 New Jersey 2145878 182350 8.50 460274 7052 1.53 241593.35
8 Arizona 956428 178467 18.66 260256 56000 21.52 125599.66
9 North Carolina 1813510 125330 6.91 613935 39559 6.44 172911.47
10 Louisiana 1379440 119747 8.68 444445 41625 9.37 296730.72
11 Massachusetts 1214540 118458 9.75 257060 6861 2.67 174766.45
12 Pennsylvania 1244569 118033 9.48 320285 18239 5.69 97216.85
13 Tennessee 1562298 109627 7.02 544283 47667 8.76 228634.31
14 Ohio 1517546 93031 6.13 511160 27439 5.37 129825.74
15 South Carolina 722257 91788 12.71 229749 35140 15.29 140279.11
16 Virginia 1140026 91782 8.05 335981 21112 6.28 133562.59
17 Michigan 1901841 91758 4.82 605686 14982 2.47 190434.39
18 Alabama 706070 91444 12.95 194564 37857 19.46 144002.32
19 Maryland 944786 90274 9.55 301395 17165 5.70 156274.56
20 Indiana 769043 67857 8.82 204396 16245 7.95 114233.21
21 Mississippi 462145 60553 13.10 126934 24266 19.12 155282.88
22 Washington 1001528 58173 5.81 333062 17517 5.26 131522.27
23 Minnesota 858341 55947 6.52 103289 13666 13.23 152198.05
24 Wisconsin 963656 54924 5.70 270427 18476 6.83 165507.41
25 Missouri 702467 52184 7.43 216959 24304 11.20 114456.25
26 Nevada 482119 50205 10.41 134563 22522 16.74 156524.22
27 Connecticut 793996 49810 6.27 235787 2523 1.07 222701.85
28 Colorado 540572 47709 8.83 148469 10814 7.28 93869.90
29 Iowa 484118 45723 9.44 109705 10313 9.40 153441.29
30 Arkansas 514581 43810 8.51 132179 15443 11.68 170513.86
31 Utah 536716 41175 7.67 123658 11691 9.45 167412.05
32 Oklahoma 637686 38225 5.99 217414 17990 8.27 161155.09
33 Kentucky 597136 31185 5.22 158966 11796 7.42 133657.05
34 Kansas 292507 27871 9.53 74728 8890 11.90 100403.53
35 Nebraska 277243 26702 9.63 69140 5530 8.00 143321.88
36 Idaho 184299 21110 11.45 59038 10207 17.29 102841.69
37 New Mexico 565886 21016 3.71 155132 5988 3.86 269877.04
38 Oregon 413657 19097 4.62 117485 6927 5.90 98075.58
39 Rhode Island 206016 19022 9.23 39361 1710 4.34 194471.95
41 Delaware 184911 14949 8.08 47502 2145 4.52 189893.03
42 District of Columbia 197192 12057 6.11 70309 1210 1.72 279408.12
43 South Dakota 113953 8955 7.86 23345 1456 6.24 128810.08
44 West Virginia 291212 6858 2.35 84176 2614 3.11 162947.98
45 North Dakota 156185 6660 4.26 33706 2326 6.90 204950.52
46 New Hampshire 160962 6634 4.12 27573 580 2.10 118379.57
47 Montana 174295 4193 2.41 59634 2435 4.08 163078.77
48 Maine 172074 3958 2.30 49760 419 0.84 128011.06
49 Alaska 243090 3280 1.35 97615 1801 1.85 332296.71
50 Wyoming 53381 2808 5.26 13442 946 7.04 92233.55
51 Hawaii 126641 2242 1.77 32721 1022 3.12 89443.82
52 Vermont 96681 1426 1.47 20830 130 0.62 154940.23

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 450196 8968 2.03 287030 63.76 147018 15842 266 1.71 3.52
Tamil Nadu 263222 5609 2.18 202283 76.85 56698 4241 109 2.64 1.61
Andhra Pradesh 166586 7822 4.93 88672 53.23 76377 1537 63 4.27 0.92
Karnataka 139571 4752 3.52 62500 44.78 74468 2594 98 3.93 1.86
Delhi 138482 805 0.58 124254 89.73 10207 4021 17 0.42 2.90
Uttar Pradesh 97362 4441 4.78 55393 56.89 40191 1778 48 2.77 1.83
West Bengal 78232 2716 3.60 54818 70.07 21683 1731 53 3.16 2.21
Telangana 67660 983 1.47 48609 71.84 18500 551 11 2.04 0.81
Gujarat 64684 1009 1.58 47663 73.69 14517 2504 22 0.89 3.87
Bihar 59567 2297 4.01 38508 64.65 20722 336 14 4.35 0.56
Rajasthan 45555 1145 2.58 32051 70.36 12785 719 13 1.84 1.58
Assam 45276 2371 5.53 33429 73.83 11735 109 4 3.81 0.24
Haryana 37173 654 1.79 30470 81.97 6263 440 7 1.62 1.18
Odisha 36297 1384 3.96 23074 63.57 12975 248 12 5.08 0.68
Madhya Pradesh 34285 750 2.24 24099 70.29 9286 900 14 1.58 2.63
Kerala 26873 961 3.71 15278 56.85 11484 85 2 2.41 0.32
Jammu and Kashmir 22006 590 2.75 14032 63.76 7567 407 11 2.78 1.85
Punjab 18527 674 3.78 11882 64.13 6203 442 19 4.49 2.39
Jharkhand 13500 941 7.49 4794 35.51 8581 125 7 5.93 0.93
Chhattisgarh 9820 212 2.21 7256 73.89 2503 61 3 5.17 0.62
Uttarakhand 7800 207 2.73 4538 58.18 3134 90 4 4.65 1.15
Goa 6816 286 4.38 4876 71.54 1883 57 4 7.55 0.84
Tripura 5389 141 2.69 3605 66.90 1739 27 4 17.39 0.50
Puducherry 3982 176 4.62 2411 60.55 1515 56 4 7.69 1.41
Manipur 2920 89 3.14 1766 60.48 1147 7 0 0.00 0.24
Himachal Pradesh 2818 115 4.25 1658 58.84 1127 13 0 0.00 0.46
Nagaland 2129 194 10.03 657 30.86 1464 4 0 0.00 0.19
Arunachal Pradesh 1758 60 3.53 1063 60.47 692 3 0 0.00 0.17
Ladakh 1485 19 1.30 1109 74.68 369 7 0 0.00 0.47
Dadra and Nagar Haveli and Daman and Diu 1284 35 2.80 866 67.45 406 2 0 0.00 0.16
Chandigarh 1160 43 3.85 706 60.86 434 19 0 0.00 1.64
Meghalaya 902 28 3.20 264 29.27 633 5 0 0.00 0.55
Andaman and Nicobar Islands 830 96 13.08 263 31.69 557 10 2 25.00 1.20
Sikkim 688 30 4.56 297 43.17 390 1 0 0.00 0.15
Mizoram 483 13 2.77 266 55.07 216 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1316219 96312 38 0.04 7.32 153 9 5821 16815 17.46
Piemonte 503678 31698 15 0.05 6.29 95 5 810 4129 13.03
Emilia-Romagna 673244 29774 49 0.16 4.42 68 4 1540 4291 14.41
Veneto 1250175 20211 45 0.22 1.62 27 4 1034 2075 10.27
Toscana 430576 10498 9 0.09 2.44 15 0 397 1135 10.81
Liguria 192061 10236 6 0.06 5.33 20 0 216 1567 15.31
Lazio 421864 8682 17 0.20 2.06 176 9 964 863 9.94
Marche 169032 6897 8 0.12 4.08 11 0 147 987 14.31
Campania 337192 5016 7 0.14 1.49 35 3 401 435 8.67
P.A. Trento 155400 4979 4 0.08 3.20 1 0 99 405 8.13
Puglia 243309 4639 8 0.17 1.91 20 0 120 552 11.90
Friuli Venezia Giulia 255780 3411 10 0.29 1.33 9 3 137 345 10.11
Abruzzo 130753 3389 2 0.06 2.59 16 1 116 472 13.93
Sicilia 280835 3305 7 0.21 1.18 36 3 285 283 8.56
P.A. Bolzano 107198 2728 3 0.11 2.54 7 0 107 292 10.70
Umbria 122404 1474 2 0.14 1.20 7 0 26 80 5.43
Sardegna 107416 1414 4 0.28 1.32 3 0 43 134 9.48
Calabria 122362 1270 1 0.08 1.04 5 1 98 97 7.64
Valle d’Aosta 21699 1209 1 0.08 5.57 1 0 13 146 12.08
Molise 28138 475 2 0.42 1.69 1 0 31 23 4.84
Basilicata 47430 453 1 0.22 0.96 2 0 51 28 6.18

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 59599 141 0.24 5681 3 0.05 9.53 6980.71 665.40 1 in 143
Ontario 41333 76 0.18 2822 1 0.04 6.83 2809.51 191.82 1 in 356
Alberta 10843 0 0.00 196 0 0.00 1.81 2456.98 44.41 1 in 407
British Columbia 3641 0 0.00 195 0 0.00 5.36 712.40 38.15 1 in 1404
Saskatchewan 1342 8 0.60 18 0 0.00 1.34 1135.68 15.23 1 in 881
Nova Scotia 1071 2 0.19 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 435 18 4.32 8 0 0.00 1.84 315.79 5.81 1 in 3167
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68138 4512 6.62
Hong Kong 3511 35 1.00
Guangdong 1683 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 933 9 0.96
Jiangxi 932 1 0.11
Shandong 804 7 0.87
Shanghai 749 7 0.93
Xinjiang 696 3 0.43
Jiangsu 658 0 0.00
Sichuan 608 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 326 3 0.92
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 253 2 0.79
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 14266.37 473.29 1 in 70
Brazil 13061.05 449.61 1 in 77
India 1347.05 28.48 1 in 742
Russia 5877.35 97.61 1 in 170
South Africa 9017.72 147.50 1 in 111
Mexico 3398.19 369.55 1 in 294
Peru 13330.74 609.70 1 in 75
Chile 19929.70 532.30 1 in 50
Colombia 6473.43 217.04 1 in 154
Iran 3812.68 211.80 1 in 262
United Kingdom 4610.46 696.66 1 in 217
Spain 6183.50 609.62 1 in 162
Pakistan 1419.79 30.34 1 in 704
Saudi Arabia 8464.94 88.55 1 in 118
Italy 4101.69 581.25 1 in 244
Bangladesh NA NA 1 in NA
Turkey 2881.52 70.88 1 in 347
France 3361.67 451.83 1 in 297
Germany 2551.27 110.57 1 in 392
Argentina 4561.08 82.40 1 in 219

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 225723 23541 10.43
Los Angeles California 192177 4693 2.44
Miami-Dade Florida 122690 1669 1.36
Maricopa Arizona 120279 2101 1.75
Cook Illinois 106713 4894 4.59
Harris Texas 76639 761 0.99
Broward Florida 57975 745 1.29
Dallas Texas 51108 688 1.35
Suffolk New York 43345 1997 4.61
Nassau New York 43322 2194 5.06
Clark Nevada 43147 688 1.59
Bexar Texas 41082 611 1.49
Orange California 37391 651 1.74
Riverside California 37011 695 1.88
Westchester New York 35998 1446 4.02
Palm Beach Florida 34226 833 2.43
San Bernardino California 32980 417 1.26
Philadelphia Pennsylvania 30354 1690 5.57
Hillsborough Florida 30118 347 1.15
San Diego California 29883 565 1.89
Orange Florida 29699 234 0.79
Tarrant Texas 29054 391 1.35
Wayne Michigan 27234 2802 10.29
Middlesex Massachusetts 25894 1985 7.67
Prince George’s Maryland 22743 743 3.27
Duval Florida 21665 158 0.73
Suffolk Massachusetts 21355 1058 4.95
Shelby Tennessee 21296 285 1.34
Mecklenburg North Carolina 20864 210 1.01
Travis Texas 20745 234 1.13
Kern California 20545 144 0.70
Bergen New Jersey 20521 2040 9.94
Milwaukee Wisconsin 19727 446 2.26
Essex New Jersey 19526 2102 10.77
Hudson New Jersey 19511 1501 7.69
Salt Lake Utah 19408 176 0.91
Davidson Tennessee 19320 199 1.03
Fulton Georgia 18079 398 2.20
Fairfield Connecticut 17793 1406 7.90
Hennepin Minnesota 17789 819 4.60
Gwinnett Georgia 17781 240 1.35
Montgomery Maryland 17758 791 4.45
Middlesex New Jersey 17713 1404 7.93
Passaic New Jersey 17493 1242 7.10
Essex Massachusetts 17386 1183 6.80
Franklin Ohio 17107 514 3.00
Hidalgo Texas 17006 644 3.79
Pinellas Florida 16774 439 2.62
Pima Arizona 16655 462 2.77
Union New Jersey 16575 1348 8.13
Fairfax Virginia 15768 523 3.32
Lee Florida 15674 300 1.91
Out of GA Georgia 15621 82 0.52
King Washington 15501 657 4.24
Fresno California 15083 138 0.91
Oakland Michigan 14777 1126 7.62
Marion Indiana 14710 719 4.89
Providence Rhode Island 14549 0 0.00
Jefferson Louisiana 14453 518 3.58
El Paso Texas 14410 248 1.72
Rockland New York 13882 674 4.86
Worcester Massachusetts 13415 992 7.39
St. Louis Missouri 13271 650 4.90
New Haven Connecticut 13041 1101 8.44
Polk Florida 12991 271 2.09
Cuyahoga Ohio 12646 477 3.77
Hartford Connecticut 12645 1412 11.17
Nueces Texas 12478 182 1.46
DeKalb Georgia 12476 225 1.80
Baltimore Maryland 12175 551 4.53
District of Columbia District of Columbia 12057 584 4.84
Lake Illinois 11982 440 3.67
Cobb Georgia 11690 298 2.55
Jefferson Alabama 11650 225 1.93
Charleston South Carolina 11594 168 1.45
Baltimore City Maryland 11577 413 3.57
Alameda California 11524 189 1.64
San Joaquin California 11483 168 1.46
DuPage Illinois 11470 510 4.45
East Baton Rouge Louisiana 11169 327 2.93
Yuma Arizona 11142 259 2.32
Wake North Carolina 11113 133 1.20
Orange New York 11093 489 4.41
Cameron Texas 10971 346 3.15
Santa Clara California 10626 191 1.80
Douglas Nebraska 10480 131 1.25
Ocean New Jersey 10459 1016 9.71
Orleans Louisiana 10384 560 5.39
Norfolk Massachusetts 10343 988 9.55
Greenville South Carolina 10211 188 1.84
Monmouth New Jersey 10117 858 8.48
Sacramento California 10067 142 1.41
Yakima Washington 10017 204 2.04
Montgomery Pennsylvania 9835 850 8.64
Denver Colorado 9777 412 4.21
Collier Florida 9734 124 1.27
Polk Iowa 9709 202 2.08
Macomb Michigan 9602 936 9.75
Tulare California 9454 178 1.88
Imperial California 9409 220 2.34

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc